{"id":"https://openalex.org/W4382138301","doi":"https://doi.org/10.3390/rs15133240","title":"Adversarial Examples in Visual Object Tracking in Satellite Videos: Cross-Frame Momentum Accumulation for Adversarial Examples Generation","display_name":"Adversarial Examples in Visual Object Tracking in Satellite Videos: Cross-Frame Momentum Accumulation for Adversarial Examples Generation","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4382138301","doi":"https://doi.org/10.3390/rs15133240"},"language":"en","primary_location":{"id":"doi:10.3390/rs15133240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133240","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3240/pdf?version=1687679995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/13/3240/pdf?version=1687679995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092272247","display_name":"Yu Zhang","orcid":"https://orcid.org/0009-0008-8905-1803"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322864","display_name":"Lingling Wang","orcid":"https://orcid.org/0000-0003-0272-2974"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfei Wang","raw_affiliation_strings":["Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101443755","display_name":"Chenghao Zhang","orcid":"https://orcid.org/0000-0003-3264-9819"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghao Zhang","raw_affiliation_strings":["Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781251","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-1422-8853"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Li","raw_affiliation_strings":["Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Engineering, Harbin Engineering University, Harbin 150009, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100781251"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6993,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74845599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":"13","first_page":"3240","last_page":"3240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851807475090027},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7397170662879944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520393490791321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6235832571983337},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6045411825180054},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5783881545066833},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.56568443775177},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5079832673072815},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4288628101348877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09890785813331604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851807475090027},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7397170662879944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520393490791321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6235832571983337},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6045411825180054},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5783881545066833},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.56568443775177},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5079832673072815},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4288628101348877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09890785813331604}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15133240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133240","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3240/pdf?version=1687679995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a46672ae38364612ac3ad22d17bfc011","is_oa":true,"landing_page_url":"https://doaj.org/article/a46672ae38364612ac3ad22d17bfc011","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 13, p 3240 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/13/3240/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15133240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 13; Pages: 3240","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15133240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133240","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3240/pdf?version=1687679995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382138301.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1529728259","https://openalex.org/W1536680647","https://openalex.org/W2026374852","https://openalex.org/W2031706661","https://openalex.org/W2097117768","https://openalex.org/W2098203865","https://openalex.org/W2158592639","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2589453516","https://openalex.org/W2608110503","https://openalex.org/W2618530766","https://openalex.org/W2742763625","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2963229629","https://openalex.org/W2963534981","https://openalex.org/W2963857521","https://openalex.org/W2966759264","https://openalex.org/W3001584168","https://openalex.org/W3015377530","https://openalex.org/W3035677743","https://openalex.org/W3035821888","https://openalex.org/W3044816028","https://openalex.org/W3093349164","https://openalex.org/W3107524501","https://openalex.org/W3107530881","https://openalex.org/W3171116680","https://openalex.org/W3176686930","https://openalex.org/W3206814941","https://openalex.org/W3216579255","https://openalex.org/W4200405302","https://openalex.org/W4214833808","https://openalex.org/W4224036806","https://openalex.org/W4224918372","https://openalex.org/W4224930821","https://openalex.org/W4280575369","https://openalex.org/W4282968251","https://openalex.org/W4283827302","https://openalex.org/W4296207360","https://openalex.org/W4304609166","https://openalex.org/W4309717800","https://openalex.org/W4312513332","https://openalex.org/W4313815765","https://openalex.org/W4319298553","https://openalex.org/W6796923956","https://openalex.org/W6804713393","https://openalex.org/W6809061922"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W2810129309"],"abstract_inverted_index":{"The":[0,137],"visual":[1,58,80,123],"object":[2,59,81,124],"tracking":[3,60,82,125],"technology":[4],"of":[5,51,57,79,101,149],"remote":[6,42,62,121],"sensing":[7,43,63,122],"images":[8],"has":[9],"important":[10],"applications":[11],"in":[12,27,54,61],"areas":[13],"with":[14],"high":[15],"safety":[16],"performance":[17,148],"such":[18],"as":[19],"national":[20],"defense,":[21],"homeland":[22],"security,":[23],"and":[24,69,84,104,128,130,135],"intelligent":[25],"transportation":[26],"smart":[28],"cities.":[29],"However,":[30],"previous":[31],"research":[32],"demonstrates":[33],"that":[34,141],"adversarial":[35,52,93,107],"examples":[36,53,108],"pose":[37],"a":[38,67],"significant":[39],"threat":[40],"to":[41,91],"imagery.":[44,64],"This":[45],"article":[46],"first":[47],"explores":[48],"the":[49,55,74,86,98,120,131,147,150],"impact":[50],"field":[56],"We":[65,115],"design":[66,105],"classification-":[68],"regression-based":[70],"loss":[71],"function":[72],"for":[73],"popular":[75],"Siamese":[76],"RPN":[77],"series":[78],"models":[83],"use":[85],"PGD":[87],"gradient-based":[88],"attack":[89,109],"method":[90,110,118],"generate":[92],"examples.":[94],"Additionally,":[95],"we":[96],"consider":[97],"temporal":[99],"consistency":[100],"video":[102],"frames":[103],"an":[106],"based":[111],"on":[112,119],"momentum":[113],"continuation.":[114],"evaluate":[116],"our":[117,142],"datasets":[126,133],"SatSOT":[127],"VISO":[129],"traditional":[132],"OTB100":[134],"UAV123.":[136],"experimental":[138],"results":[139],"show":[140],"approach":[143],"can":[144],"effectively":[145],"reduce":[146],"tracker.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2023-06-27T00:00:00"}
